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About Me

Researcher in Bayesian inference and high-performance computing

6+

Years in Research

2+

Papers Published

5+

Students Supervised

£1k+

Funding Secured

🛠 Skills & Expertise

Artificial Intelligence Bayesian Inference High-Performance Computing Data Science Machine Learning Probabilistic Programming Distributed Systems Python JAX Stan

Journey

  • Experience Sep 2023 - Present

    Research Associate

    University of Liverpool

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    Details Sep 2023 - Present

    Lead and contributed to projects with academic, industrial, and governmental partners, including logistics modelling, automated literature analysis, Bayesian modelling, and uncertainty quantification.

  • Experience Feb 2022 - Aug 2022

    Research Intern in Machine Learning and AI

    IBM Research UK

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    Details Feb 2022 - Aug 2022

    Implemented numerical Bayesian inference techniques in PyTorch, optimised for GPU architectures.

  • Education Oct 2019 - May 2025

    PhD in Electrical Engineering & Electronics

    University of Liverpool

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    Details Oct 2019 - May 2025

    Thesis on advanced numerical Bayesian inference techniques that rival MCMC. Methods deployed in high-performance and opportunistic compute environments. Funded by the CDT in Distributed Algorithms and IBM Research UK.

  • Experience Oct 2019 - Aug 2023

    Postgraduate Researcher

    University of Liverpool

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    Details Oct 2019 - Aug 2023

    PhD research in advanced Bayesian inference methods. Collaborated with industrial partners, delivered lectures, and served as a demonstrator.

  • Education Oct 2018 - Dec 2019

    MSc in Big Data & High-Performance Computing

    University of Liverpool

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    Details Oct 2018 - Dec 2019

    Thesis investigated using FPGAs to accelerate financial options pricing algorithms, completed with Xilinx as the industrial sponsor. Received a studentship from the STFC Hartree Centre and was awarded the Ann Maybrey Prize.

  • Education Oct 2015 - Dec 2018

    BA in Business Economics & Financial Management

    University of Hull

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    Details Oct 2015 - Dec 2018

    Thesis investigated the application of the Taylor Rule to current economic policy. Awarded the Avenues Prize.

📂 Selected Projects

Opportunistic Sequential Monte Carlo

2024-2025 · Lead

Designed a novel SMC variant for opportunistic computing environments; integrated into open-source PySMC library.

Bayesian Modelling in Structural Health Monitoring

2023 · Supervised

Supervised MSc project on probabilistic damage detection in civil structures.

💰 Funding

EPSRC Summer Vacation Internship

Bayesian Inference for Opportunistic Compute

£1,000 · 2024-2025

📚 Teaching Activity

Module Leader

University of Liverpool · May 2023 - May 2024

  • Designed a 2-hour training session on distributed computing with HTCondor for first-year PhD students in the CDT.
  • Delivered in 2023 and 2024.

Supervisor and Mentor

University of Liverpool · Oct 2022 - May 2024

  • Supervised a team of five students (mix of UG and PG) during summer internship program.
  • Mentored students in the Distributed Algorithms CDT, providing technical, career, and personal advice.

Laboratory Demonstrator - High-Performance Computing Lab

University of Liverpool · Oct 2019 - May 2024

  • Delivered lab sessions and marked coursework for the BSc module High-Performance Computing.
  • Delivered lab sessions and marked coursework for the MSc module Multi-core and Multi-processor Programming.
  • Delivered three lectures to 60 MSc students on multi-core and multi-processor programming.

Laboratory Demonstrator - Machine Learning & Optimisation Lab

University of Liverpool · Oct 2019 - May 2024

  • Delivered lab sessions and marked coursework for the MSc module Machine Learning and Bioinspired Optimisation.

🎯 Hobbies

🎼

Music

My favourite piece to play on the clarinet is Si Tu Vois Ma Mère by Sidney Bechet.
📸

Photography

My favourite photographer is Alexey Titarenko.

Writing

My favourite novel is Captain Corelli's Mandolin by Louis de Bernières.
🌍

Learning languages

I am currently learning Greek and French.
🎮

Gaming

I enjoy playing Old School Runescape, Vermintide and Counter-Strike.
🎾

Tennis

My favourite tennis players are Carlos Alcaraz and Ons Jauber.